AIMC Topic: Caveolae
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Deep neural network automated segmentation of cellular structures in volume electron microscopy.
The Journal of cell biology
Dec 5, 2022
Volume electron microscopy is an important imaging modality in contemporary cell biology. Identification of intracellular structures is a laborious process limiting the effective use of this potentially powerful tool. We resolved this bottleneck with...
Caveolae and scaffold detection from single molecule localization microscopy data using deep learning.
PloS one
Aug 26, 2019
Caveolae are plasma membrane invaginations whose formation requires caveolin-1 (Cav1), the adaptor protein polymerase I, and the transcript release factor (PTRF or CAVIN1). Caveolae have an important role in cell functioning, signaling, and disease. ...
Identification of caveolin-1 domain signatures via machine learning and graphlet analysis of single-molecule super-resolution data.
Bioinformatics (Oxford, England)
Sep 15, 2019
MOTIVATION: Network analysis and unsupervised machine learning processing of single-molecule localization microscopy of caveolin-1 (Cav1) antibody labeling of prostate cancer cells identified biosignatures and structures for caveolae and three distin...
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